Abstract:
A method and an apparatus for exclusive reinforcement learning are provided, comprising: collecting information of states of an environment through the communication interface and performing a statistical analysis on the states using the collected information; determining a first state value of a first state among the states in a training phase and a second state value of a second state among the states in an inference phase based on analysis results of the statistical analysis; performing reinforcement learning by using one reinforcement learning unit of a plurality of reinforcement learning unit which performs reinforcement learnings from different perspectives according to the first state value; and selecting one of actions determined by the plurality of reinforcement learning unit based on the second state value and applying selected action to the environment.
Abstract:
An apparatus and method for abnormal situation detection are disclosed. An abnormal situation detection apparatus can map first sensor data among sensor data transmitted from a plurality of sensors into a vector value, convert it into first situation information in the form of an image pattern, and generate a learning model using the first situation information and an abnormal situation reference range. In addition, the abnormal situation detection apparatus can convert second sensor data among sensor data transmitted from a plurality of sensors into a form that can be input to the learning model, and determine whether an abnormal situation occurs by applying the converted second data to the learning model.
Abstract:
A method and an apparatus for urban infrastructure management using IoT. The method includes receiving sensing data from a plurality of IoT devices installed in the urban infrastructures; determining health states of the urban infrastructures or predicting occurrence of a disaster based on the received sensing data; and transmitting a warning message according to the predicted disaster occurrence to outside. Thus, the urban infrastructures can be managed efficiently, and the disaster occurrence can be predicted accurately.
Abstract:
A user status analyzing apparatus including an activity history acquiring module configured to acquire, in a form of activity history time series data, activity history information in which a user activity is written through a home network to which a plurality of sensor devices is connected; an activity history storage configured to store the plurality of activity history time series data obtained by the activity history acquiring module; and an activity history analyzing module configured to analyze a user status depending on a correlation and characteristics perceived on a basis of the plurality of activity history time series data stored in the activity history storage.